AI Agents

zer0's AI agents are your personal digital workforce—autonomous, intelligent, and completely private. Running on-device with Llama-3-8B models, they execute complex workflows without ever exposing your data.

🤖 What Are zer0 AI Agents?

AI agents are specialized programs that combine large language models with task-specific tools to accomplish goals autonomously.

Traditional AI (ChatGPT, Claude)

You: "Analyze my financial data"
↓
[Uploads to cloud server]
↓
OpenAI/Anthropic: Has your data forever
↓
AI: Returns analysis

zer0 AI Agents

You: "Analyze my financial data"
↓
[Processes 100% locally on your device]
↓
AI Agent: Returns analysis
↓
Your data never left your computer

🎯 Built-In Agent Types

1. Research Agent 🔍

Purpose: Summarize articles, extract insights, answer questions privately

Capabilities:

Scrape and summarize web pages
Extract key facts from documents
Answer questions based on context
Generate research reports

Example Use Cases:

Task: "Summarize this 10,000-word article on blockchain scaling"

Agent Process:

Fetches article via Tor
Extracts main points using NLP
Generates 300-word summary
Highlights key technical concepts

Time: ~15 seconds Privacy: No data sent to cloud

2. DeFi Agent 💱

Purpose: Private cryptocurrency operations and yield optimization

Capabilities:

Execute shielded token swaps
Optimize yield farming strategies
Monitor portfolio across chains
Alert on liquidation risks

Example Use Cases:

Task: "Find best USDC yield under 0.01% risk"

Agent Process:

Scans 50+ DeFi protocols privately
Calculates risk-adjusted returns
Checks smart contract audits
Recommends top 3 options with proof

Time: ~30 seconds Privacy: zk-shielded queries

3. Data Agent 📊

Purpose: Analyze spreadsheets, visualize data, generate insights—all locally

Capabilities:

Parse CSV/Excel files locally
Statistical analysis (regression, clustering)
Generate charts and visualizations
Predictive modeling

Example Use Cases:

Task: "Analyze my 2024 expenses and predict 2025"

Agent Process:

Loads CSV file locally
Categorizes expenses
Identifies trends and anomalies
Generates forecast with confidence intervals

Time: ~20 seconds Privacy: File never uploaded

Purpose: Post anonymously to social media using zero-knowledge proofs

Capabilities:

Anonymous posting to X (Twitter)
Shielded Discord/Telegram messages
Reputation without identity (Semaphore)
Viral content distribution

Example Use Cases:

Task: "Post a controversial opinion without linking to my identity"

Agent Process:

Generates zk-proof of humanness
Posts via Semaphore protocol
Tweet appears from anonymous account
Provably not a bot, but no identity

Time: ~10 seconds Privacy: Zero-knowledge identity

5. Job Agent 💼

Purpose: Search jobs, tailor applications, automate outreach—privately

Capabilities:

Scrape job boards without tracking
Tailor resume/cover letter for each role
Auto-apply to matching positions
Track applications anonymously

Example Use Cases:

Task: "Find remote crypto jobs paying $150k+"

Agent Process:

Scrapes 20+ job boards via Tor
Filters by salary, location, keywords
Ranks by fit to your skills
Generates custom applications

Time: ~2 minutes Privacy: No recruiter tracking

🔧 How Agents Work

Agent Architecture

┌─────────────────────────────────────────────────┐
│                  Agent Request                   │
│  "Optimize my DeFi yield across 50 protocols"  │
└───────────────────┬─────────────────────────────┘
                    │
                    ▼
┌─────────────────────────────────────────────────┐
│              Planning Module                     │
│  1. Break task into subtasks                    │
│  2. Determine tool requirements                 │
│  3. Generate execution plan                     │
└───────────────────┬─────────────────────────────┘
                    │
                    ▼
┌─────────────────────────────────────────────────┐
│           Execution Engine (Llama-3)            │
│  • Runs on-device (8B params)                   │
│  • Accesses tools via sandbox                   │
│  • Generates intermediate results               │
└───────────────────┬─────────────────────────────┘
                    │
                    ▼
┌─────────────────────────────────────────────────┐
│              Tool Ecosystem                      │
│  • Web scraper (Tor routing)                    │
│  • DeFi protocol connectors                     │
│  • Data analysis libraries                      │
│  • zk-Proof generators                          │
└───────────────────┬─────────────────────────────┘
                    │
                    ▼
┌─────────────────────────────────────────────────┐
│            Result & Verification                │
│  • Synthesize findings                          │
│  • Generate zk-proof of correctness             │
│  • Return to user                               │
└─────────────────────────────────────────────────┘

On-Device Model: Llama-3-8B

Why Llama-3-8B?

✅ GPT-3.5 level performance
✅ Runs on consumer hardware (4GB RAM)
✅ Open-source and auditable
✅ Fast inference (20-50 tokens/sec)
✅ Specialized fine-tuning possible

Optimizations:

Quantization: INT4 compression (4x smaller, faster)
KV Caching: Reuse past computations
WebGPU Acceleration: 5-10x speedup with GPU
Batching: Process multiple requests efficiently

Privacy Guarantees

Every agent execution follows these principles:

Local-First Processing
- Models run on your device
- No cloud API calls
- Data never leaves your machine
Tor-Routed Requests
- External queries via Tor
- Randomized exit nodes
- No IP leakage
zk-Shielded Operations
- Blockchain interactions via zk-proofs
- No transaction linkability
- Privacy-preserving verification
Memory Isolation
- Agents run in sandboxes
- No cross-agent data sharing
- Automatic memory wipe post-execution

🛍️ Agent Marketplace

Rent Specialized Agents

Beyond built-in agents, access hundreds of community-created specialists:

Creating Custom Agents

Developers can monetize specialized agents:

// Example: Custom DeFi Agent
const agent = new Zer0Agent({
  name: "APY Optimizer Pro",
  description: "Find best yields with risk analysis",
  price: "10 $zer0/day",
  
  async execute(task) {
    // Your custom logic
    const protocols = await scanDeFi();
    const analyzed = await riskAnalysis(protocols);
    return optimizeYield(analyzed, task.constraints);
  }
});

// Publish to marketplace
await agent.publish();

Creator Economics:

70% to agent creator
20% burned (deflationary)
10% to zer0 DAO treasury

🚀 Advanced Agent Features

1. Agent Chaining

Combine multiple agents for complex workflows:

Task: "Research top AI projects, analyze tokens, and buy best 3"

Flow:
Research Agent → scrapes AI project data
       ↓
Data Agent → ranks by metrics
       ↓
DeFi Agent → executes private buys
       ↓
Result: Portfolio allocated automatically

2. Scheduled Agents

Run agents on autopilot:

Schedule: Every Monday 9 AM
Agent: DeFi Rebalancer
Task: "Rebalance portfolio to 60/30/10 ETH/BTC/Stables"
Notification: Slack/Email summary

3. Agent DAOs (Guilds)

Pool resources for shared agents:

DeFi Guild - 1000 members share premium trading bots
Research Guild - Academic paper analysis tools
Dev Guild - Code review and security audit agents

Benefits:

Split rental costs
Shared insights (zk-anonymous)
Governance over agent development

📊 Performance Benchmarks

Agent Speed (Consumer Hardware)

Agent Type

Task

Time

Hardware

Research

Summarize 5000-word article

12s

i5-12400, 8GB RAM

DeFi

Scan 50 protocols for yield

28s

i5-12400, 8GB RAM

Data

Analyze 10k-row CSV

18s

i5-12400, 8GB RAM

Social

Generate + post tweet

i5-12400, 8GB RAM

Research

Summarize article (GPU)

RTX 3060, 16GB RAM

DeFi

Scan protocols (GPU)

11s

RTX 3060, 16GB RAM

Accuracy Benchmarks

Task Type

Accuracy vs GPT-4

Notes

Summarization

92%

Slightly less nuanced

Data Analysis

97%

Math is math

Code Generation

85%

Simpler patterns work well

Creative Writing

88%

Less "personality"

Fact Extraction

95%

Excellent for structured data

🔒 Security & Safety

Agent Sandboxing

Every agent runs in restricted environment:

Allowed:
✅ Read user-approved files
✅ Network requests via Tor
✅ Execute code in VM
✅ Generate zk-proofs

Forbidden:
❌ Access other apps
❌ Persist data without consent
❌ Direct network access (bypass Tor)
❌ Access wallet without 2FA

Agent Auditing

All agent actions are logged locally:

Agent: DeFi Optimizer
Time: 2025-08-03 14:30:22
Actions:
  - Fetched APY data from Aave (via Tor)
  - Analyzed risk metrics locally
  - Recommended: Move 1000 USDC to Aave V3
  
User Action: Approved
Result: Transaction 0x1234... (zk-shielded)

You always see:

What data the agent accessed
What actions it took
What it recommended
Final approval is always yours

💡 Use Case Examples

Scenario 1: Privacy-Conscious Researcher

Goal: Research competitors without them knowing

1. Research Agent: "Analyze competitor.com's SEO strategy"
   → Scrapes via Tor (they see random IP)
   → Extracts keywords, backlinks, content
   → No trail back to you

2. Data Agent: "Compare their traffic to mine"
   → Loads your Analytics locally
   → Generates comparison report
   → Identifies opportunities

Result: Competitive intelligence with zero footprint

Scenario 2: DeFi Yield Farmer

Goal: Maximize yield without constant monitoring

1. DeFi Agent (Scheduled Daily): "Find best stablecoin yield"
   → Scans 50+ protocols
   → Calculates gas costs
   → Recommends optimal pool

2. Auto-Execute (if enabled): Move funds to new pool
   → Generates zk-proof of ownership
   → Executes private swap
   → Deposits in recommended pool

Result: Passive 12% APY vs 6% manual

Scenario 3: Anonymous Activist

Goal: Expose corruption without risking safety

1. Social Agent: "Post leaked documents anonymously"
   → Generates Semaphore identity (zk-proof of humanness)
   → Uploads docs to IPFS via Tor
   → Posts link on Twitter with zk-signature

2. Verification: "Prove I'm a real insider"
   → Generates zk-proof: "I have access to internal system"
   → Proves authenticity without revealing identity

Result: Information is public, whistleblower is safe

🎓 Learning More

Agent Development

Want to build your own agents?

Agent SDK Documentation

Complete guide to building zer0 agents

Creating Custom Agents

Tutorial: Build and monetize your first agent

Agent Marketplace Guide

Discover and rent specialized agents

Agents are the future of computing. With zer0, that future is private, profitable, and in your control. 🤖

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Last updated 24 days ago

Good evening

🤖 What Are zer0 AI Agents?

Traditional AI (ChatGPT, Claude)

zer0 AI Agents

🎯 Built-In Agent Types

1. Research Agent 🔍

2. DeFi Agent 💱

3. Data Agent 📊

4. Social Agent 🌐

5. Job Agent 💼

🔧 How Agents Work

Agent Architecture

On-Device Model: Llama-3-8B

Privacy Guarantees

🛍️ Agent Marketplace

Rent Specialized Agents

Creating Custom Agents

🚀 Advanced Agent Features

1. Agent Chaining

2. Scheduled Agents

3. Agent DAOs (Guilds)

📊 Performance Benchmarks

Agent Speed (Consumer Hardware)

Accuracy Benchmarks

🔒 Security & Safety

Agent Sandboxing

Agent Auditing

💡 Use Case Examples

Scenario 1: Privacy-Conscious Researcher

Scenario 2: DeFi Yield Farmer

Scenario 3: Anonymous Activist

🎓 Learning More

Agent Development